C. Nicolo

Machine-learning and mechanistic modeling of primary and metastatic breast cancer growth after neoadjuvant targeted therapy

This paper develops a mathematical model and applies machine learning to predict neoadjuvant treatment response in breast cancer, finding limited predictive power of biomarkers for metastatic outcomes.

Machine learning and mechanistic modeling for prediction of metastatic relapse in breast cancer

This paper develops a mechanistic model to predict metastatic relapse in breast cancer using clinicopathological data and compares its performance to existing statistical and machine learning methods.